Fuzzy min–max neural networks for categorical data: application to missing data imputation

Author:

Rey-del-Castillo Pilar,Cardeñosa Jesús

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference37 articles.

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2. Rubin DB (1977) Formalizing subjective notions about the effect of non-respondents in sample surveys. J Am Stat Assoc 72(359):538–543

3. Dempster P, Rubin DB (1983) Incomplete data in sample surveys. In: Madow WG, Olkin I, Rubin DB (eds) Sample surveys. II. Theory and Annotated Bibliograph. Academic Press, New York

4. Schafer JL, Graham JW (2002) Missing data: our view of the state of the art. Psychol Methods 7(2):147–177

5. Durrant GB (2005) Imputation methods for handling item-non-response in the social sciences: a methodological review. Tech. Rep. NCRM/002, National Centre for Research Methods and Southampton Statistical Sciences Research Institute, University of Southampton

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